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Postdoctoral fellow in theoretical neuroscience and brain-inspired machine learning

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Applied Mathematics
Description

Postdoctoral positions are available in Cengiz Pehlevan’s theoretical neuroscience group at Harvard University. We are looking for candidates with strong analytical and numerical skills, and backgrounds in (theoretical) neuroscience, applied mathematics, physics, engineering, computer science, or related fields.

Our group seeks to understand the algorithms of the brain and their neural implementation. Current interests include, but are not limited to, unsupervised learning of sensory representations, reinforcement learning of motor skills, decision making and brain-inspired machine learning. For recent publications, see pehlevan.seas.harvard.edu. Successful candidates will join a vibrant community of researchers at Harvard and take part in collaborations with experimental labs across the campus.

The position is funded for multiple years, with an initial one-year appointment and expectation of extension contingent on satisfactory progress. To apply, please email a short statement of research interests, a CV, and the contact information of at least two references to Cengiz Pehlevan (cpehlevan@seas.harvard.edu), with the subject line “Theory Postdoctoral Fellow”. Review of applications will begin immediately.

Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

Posted

Postdoctoral Fellow Positions in Bio-Inspired Engineering

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Bioengineering
Description

The Wyss Institute for Biologically Inspired Engineering at Harvard University invites applications for a number of postdoctoral fellow positions. The mission of the Wyss Institute is to discover the engineering principles that Nature uses to build living things; to pursue the high-risk research that is fundamental to advance this effort; and to harness these insights to create biologically inspired materials and devices to advance human health and improve the environment – thereby revolutionizing clinical medicine and creating a more sustainable world.

A Ph.D. in a related field is required as is a background in synthetic biology, living materials or biological control. Candidates are specifically sought for the following enabling technology platforms: 3D Organ Engineering; Adaptive Materials Technologies; Molecular Robotics; Living Cellular Devices; Synthetic Biology; Bioinspired Therapeutics and Diagnostics; Immuno-Materials and Bioinspired Soft Robotics.

Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. 

How to Apply

Applications, assembled as single pdf files, should contain a C.V., a cover letter describing research interests and goals, a full list of publications, copies of up to three relevant scientific papers, and names and contact information for at least three writers of letters of recommendation, who might be contacted as references. Applications should be sent to postdocs@wyss.harvard.edu.

Posted

Wyss Institute Technology Development Fellows

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Description

The Wyss Institute for Biologically Inspired Engineering at Harvard University (http://www.wyss.harvard.edu) invites nominations of individuals of outstanding talent and technical skills for a number of Wyss Technology Development Fellow positions. Wyss Fellows will be provided with a competitive salary, and additional funds to support independent exploratory research. The Fellowships are intended for brilliant young women and men of great promise with outstanding technical expertise who have completed their doctoral degree within the last five years. Fellowships are awarded for up to three years.

Although Wyss Fellows will be granted more independence and a greater emphasis on technology creation and translation than other postdocs on campus, they can benefit from the role of Institute Core Faculty and members of the Advanced Technology Team as mentors.

Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

How to Apply

Interested applicants can obtain more information about the application process and can download the nomination sheet on the Wyss Institute website at: https://wyss.harvard.edu/careers/academic/.

Applications should be sent to wyssfellows@wyss.harvard.edu.

Posted

Postdoctoral Fellowship in Protein Formulations and Drug Delivery

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Description

Lab Summary & Position Summary

By combining unique engineering solutions with cell biology and biochemistry the group of Prof. Jennifer Lewis has become a world leader in bioengineering at the Wyss Institute and Harvard School of Engineering and Applied Sciences.

We are seeking a creative, motivated candidate with experience in developing protein formulations and/or drug delivery of biologics. The role will involve exploring the development of protein formulation by leveraging the acoustophoretic printing platform. The successful candidate will support and work closely with other members within the Lewis Group. The project is highly interdisciplinary, on the intersection of engineering, pharmaceutical sciences, biochemistry and chemistry.

Responsibilities

  • Design, development, and successful implementation of novel polymer/proteins formulations by leveraging the acoustophoretic printing platform.
  • Design and develop in-vitro and in-vivo experiments.

Preferred Qualifications

  • PhD in the area of biomaterials, polymers, drug delivery, pharmacy, or equivalent.
  • Experience with protein formulations.
  • Experience with analytical techniques to characterize proteins: size exclusion chromatography, ion exchange chromatography and ELISA.

Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

How to Apply

Application Procedure

A complete application will include:

  1. A cover letter.
  2. CV.
  3. At least three references.

Applicants should email items (a)-(c) as a single PDF file to Dr. Foresti (dforesti@seas.harvard.edu) using "Protein formulation postdoc” as the title of the email.

Posted

Postdoctoral Fellow in Microfabrication and Engineering

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Bioengineering
Description

Lab Summary & Position Summary

By combining unique engineering solutions with cell biology and biochemistry the group of Prof. Jennifer Lewis has become a world leader in bioengineering at the Wyss Institute and Harvard School of Engineering and Applied Sciences.We are seeking a creative, motivated candidate with experience in the field of microfabrication, MEMS, microfluidics, microcontrollers, and electronics. The role will involve development, implementation and testing of microchips to advance the acoustophoretic printing platform. The successful candidate will support and work closely with other experts within the Lewis Group to rapidly advance the scientific program. The project is highly interdisciplinary, on the intersection of engineering, pharmaceutical sciences, biochemistry and chemistry.

Responsibilities

  • Design, development, and successful implementation of novel microfluidic chip.
  • Design, integrate, and upgrade lab electronics to a user-friendly interface.
  • Maintain scientific and technical expertise through familiarity with scientific literature, attending conferences, and developing relationships with thought leaders.
  • Jump in and help with whatever is needed to get the job done: we are in this together!

Preferred Qualifications

  • PhD in the area of microengineering, mechanical engineering, material science, chemical engineering, electrical engineering, applied physics, or similar.
  • 1+ years of experience with microfabrication techniques, such as chemical-mechanical polishing, thin film deposition, deep reactive ion etching, wet processing, lithography, silicon wafer thinning, or wafer bonding.
  • Experience with piezo electric materials, electronic systems, microfluidics, ultrasonic sensors and transducers is a plus.
  • Academic excellence and self-starter mentality: confident, passionate, persuasive.
  • Creativity in the ability to solve complex scientific problems.
  • Self-motivated and curious with strong desire to both learn from and teach others.
  • Outstanding communication and interpersonal skills.

Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

How to Apply

Application Procedure

A complete application will include:

  1. A cover letter.
  2. CV.
  3. At least three references.

Applicants should email items (a)-(c) as a single PDF file to Dr. Foresti (dforesti@seas.harvard.edu) using "Microfabrication Postdoc” as the title of the email.

Posted

Research Associate in Atmospheric Sciences

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Application deadline
Area of study
Environmental Science & Engineering
Description

Applications are invited for a Research Associate to work with Professor Steven Wofsy on the Dynamics and Chemistry of the Summer Stratosphere campaign.

The effort is directed toward preparing the HUPCRS Instrument for the DCOTSS ER-2 campaign, conducting pre- and post-mission laboratory calibrations, integrating and removing the HUPCRS instrument onto/from the ER-2 for each deployment, participating in the test flight series in Palmdale, CA and the various field campaigns in Salina, Kansas,  assisting with post-mission data quality control, analyzing the flight data to assist in meeting the mission goals, and participating in preparation of peer-review publications of the mission results.

Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

 

How to Apply

A PhD or equivalent in atmospheric sciences is required. Post-doctoral experience is preferred. To apply, please send a CV, research statement, and the names and contact information of three people who can be asked for letters of reference to: tetyana_donnelli@harvard.edu with the subject header titled "Wofsy DCOTSS Research Associate".

Review of applications will begin immediately. Application deadline is October 31, 2019.

Posted

Postdoctoral Fellow in Information Theory and Data Science at Harvard SEAS

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Computer Science
Description

A postdoctoral position is available in the area of information theory, data science, and applications to social psychology. The post-doctoral fellow will be directly involved in an inter-institutional research project that combines methods from social psychology, machine learning, and information theory to create algorithmic tools that monitor middle school student, teacher, and school-level data for factors that impact students' engagement in STEM. These tools will (i) help identify pedagogical or socio-economic factors that have a disparate impact on the decisions made by female students, (ii) predict which students are most vulnerable to being discouraged from pursuing STEM fields, and (iii) inform effective interventions that help close the gender gap.

The project will be undertaken together with collaborators at MIT (Prof. Muriel Médard) and UMass Amherst (Prof. N. Dasgupta). The post-doctoral fellow will directly interact with researchers at all three institutions. In parallel, the post-doctoral fellow will also have the opportunity to undertake other projects at the intersection of information theory and data science currently being developed at Prof. Calmon's research group at Harvard.

Applicants should have a solid understanding of data science and information theory, and a strong interest in applying machine learning to education settings. Some background in social psychology is encouraged but not mandatory. The ability to write code beyond Matlab (e.g., Python, Tensorflow, R) and to manipulate large datasets is a big plus. The position is funded for up to two years.

How to Apply

Interested candidates should send a single pdf containing a cover letter (i.e., a short paragraph stating your interest), a CV, two selected publications, the name of three references, and a link to their personal website to Prof. Flavio Calmon (flavio@seas.harvard.edu). The subject line of the e-mail should read "IT+Education Harvard Fall 2019”.

Posted

Postdoctoral Fellow in Information Theory and Data Science at Harvard SEAS

Job type
Postdoctoral Fellow/Researcher
Time status
Full-time
Area of study
Computer Science
Description

A postdoctoral position is available in the area of information theory, data science, and applications to social psychology. The post-doctoral fellow will be directly involved in an inter-institutional research project that combines methods from social psychology, machine learning, and information theory to create algorithmic tools that monitor middle school student, teacher, and school-level data for factors that impact students' engagement in STEM. These tools will (i) help identify pedagogical or socio-economic factors that have a disparate impact on the decisions made by female students, (ii) predict which students are most vulnerable to being discouraged from pursuing STEM fields, and (iii) inform effective interventions that help close the gender gap.

The project will be undertaken together with collaborators at MIT (Prof. Muriel Médard) and UMass Amherst (Prof. N. Dasgupta). The post-doctoral fellow will directly interact with researchers at all three institutions. In parallel, the post-doctoral fellow will also have the opportunity to undertake other projects at the intersection of information theory and data science currently being developed at Prof. Calmon's research group at Harvard.

Applicants should have a solid understanding of data science and information theory, and a strong interest in applying machine learning to education settings. Some background in social psychology is encouraged but not mandatory. The ability to write code beyond Matlab (e.g., Python, Tensorflow, R) and to manipulate large datasets is a big plus. The position is funded for up to two years.

How to Apply

Interested candidates should send a single pdf containing a cover letter (i.e., a short paragraph stating your interest), a CV, two selected publications, the name of three references, and a link to their personal website to Prof. Flavio Calmon (flavio@seas.harvard.edu). The subject line of the e-mail should read "IT+Education Harvard Fall 2019”.

Posted

Lecturer in Computational Science and Data Science

Job type
Teaching faculty
Time status
Full-time
Area of study
Computer Science
Description

The Harvard John A. Paulson School of Engineering and Applied Sciences seeks applicants for the position of Lecturer in Computational Science and Data Science in the Institute for Applied Computational Science (IACS) (http://iacs.seas.harvard.edu), with an expected start date of July 1, 2020. This is an annual (twelve month) academic appointment renewable for up to three years, depending on continuing curricular need and performance. 

Duties include teaching three computational or data science courses per year, supervising and advising master’s student projects, and conducting independent research in an area of the lecturer’s choosing. In addition, the lecturer will be expected to participate in the planning and execution of community events planned by the IACS.

Candidates are required to have a doctoral degree in Computer Science, Applied Mathematics, Statistics, or a related field (physical science or social science with a focus on computational methods) by the expected start date. In addition, we seek candidates with programming skills in some programming language and a record of teaching at the undergraduate or graduate level. 

Required documents include: a cover letter, including a description of teaching experience and philosophy and comments on any efforts to encourage diversity, inclusion, and belonging; a current CV; and course evaluations for all recently taught courses. Candidates are also required to submit the names and contact information for three to five references. Three letters of recommendation are required, and the application is considered complete only when at least three letters have been received.

We encourage candidates to apply by December 15, 2019, but will continue to review applications until the position is filled.

Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. 

How to Apply

Applicants can apply using this link: http://academicpositions.harvard.edu/postings/9228.

Posted

Tenure track faculty position in Computer Science

Job type
Tenure-track faculty
Time status
Full-time
Area of study
Computer Science
Description

The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) seeks applicants for a position at the tenure-track level in Computer Science, with an expected start date of July 1, 2020.

We are accepting applications in all areas of Computer Science. Machine learning, natural language processing, systems, systems security, and algorithms are areas of special interest, but candidates in any area are invited to apply.

We seek candidates who have a strong research record and a commitment to undergraduate and graduate teaching and training. We particularly encourage applications from historically underrepresented groups, including women and minorities.

Computer Science at Harvard benefits from outstanding undergraduate and graduate students, world-leading faculty, an excellent location, significant industrial collaboration, and substantial support from SEAS. Information about Harvard’s current faculty, research, and educational programs in computer science is available at http://www.seas.harvard.edu/computer-science.

The associated Institute for Applied Computational Science (http://iacs.seas.harvard.edu) and Data Science Initiative (https://datascience.harvard.edu/) foster connections among computer science, applied math, data science, and various domain sciences at Harvard through its graduate programs and events.

A doctorate or terminal degree in Computer Science or a related field is required by the expected start date.

Required application documents include a cover letter, CV, a statement of research interests, a teaching statement, and up to three representative papers. In addition, we ask for a statement describing efforts to encourage diversity, inclusion, and belonging, including past, current, and anticipated future contributions in these areas. Candidates are also required to submit the names and contact information for at least three and up to five references, and the application is complete only when three letters have been submitted. At least one letter must come from someone who has not served as the candidate’s undergraduate, graduate, or postdoctoral advisor. We encourage candidates to apply by December 6, 2019, but will continue to review applications until the position is filled.

Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

How to Apply

Posted